WebMar 11, 2024 · array.reshape(-1, 1)是用来改变数组的形状的,其中-1表示自动计算数组的行数或列数,1表示数组的列数为1。这个函数可以将一维数组转换为二维数组,其中一维的长度由函数自动计算得出。例如,如果原数组的长度为10,那么使用array.reshape(-1, 1)将得到一个10行1列的二维数组。 eshape your data either using array. reshape (-1, 1) if … WebMar 13, 2024 · ValueError: cannot reshape array of size 0 into shape (25,785) 这个错误提示意味着你正在尝试将一个长度为0的数组重新塑形为一个(25,785)的数组,这是不可能的。 可能原因有很多,比如你没有正确地加载数据,或者数据集中没有足够的数据。
Cannot reshape array of size x into shape y - Stack Overflow
WebMar 17, 2024 · import numpy as np n = 10160 #n = 10083 X = np.arange (n).reshape (1,-1) np.shape (X) X = X.reshape ( [X.shape [0], X.shape [1],1]) X_train_1 = X [:,0:10080,:] X_train_2 = X [:,10080:10160,:].reshape (1,80) np.shape (X_train_2) If you cannot make sure that X is 10160 long I suggest one of the following solutions: WebSep 23, 2024 · 1 Answer Sorted by: 0 The error is originating from the first line because the total size of the array is not divisible by given reshaping parameters. Here is a toy example:: x_train = train_data.reshape (train_data.shape [0], train_data.shape [1], train_data.shape [2], INPUT_DIMENSION) short medium haircuts for women over 50
NumPy reshape(): How to Reshape NumPy Arrays in Python
WebJun 25, 2024 · The problem is that in the line that is supposed to grab the data from the file ( all_pixels = np.frombuffer (f.read (), dtype=np.uint8) ), the call to f.read () does not read … WebApr 1, 2024 · 但是输入的图片尺寸肯定是不同的,那么就是在reshape前面resize部分出了问题。 由于scipy版本问题,scipy>=1.2不再包含函数 imresize ,所以在之前我就按网上的方法将 image = imresize (image, [height, width], interp='nearest') 调用numpy库: import numpy as np 原句改为了: np.array (Image.fromarray (image).resize ( (height, width))) 上述改 … WebMar 9, 2024 · 1 Answer Sorted by: 1 If size of image data is 40000 and not equal 1x32x32x3 (One image with width and height, 32 x 32, and RGB format), you reshape it and then got the error. short medium haircuts women